T
Tongqian Zhang
Researcher at Shandong University of Science and Technology
Publications - 63
Citations - 1506
Tongqian Zhang is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Nonlinear system & Epidemic model. The author has an hindex of 19, co-authored 55 publications receiving 1148 citations. Previous affiliations of Tongqian Zhang include University of Science and Technology Beijing & Qingdao University.
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Dynamics analysis of a delayed virus model with two different transmission methods and treatments.
TL;DR: It is shown that the virus-free equilibrium is locally asymptotically stable if the basic reproduction number is smaller than one, and by regarding the time delay as a bifurcation parameter, the existence of local Hopf bifURcation is investigated.
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Periodic solution of a prey-predator model with nonlinear state feedback control
TL;DR: A pest management model with nonlinear state feedback control with periodic solution is proposed and the singularity of the model is investigated by using method of qualitative analysis and the existence of periodic solution of themodel is studied by using successor functions and Poincare-Bendixson theorem.
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Spatio-temporal dynamics near the steady state of a planktonic system
TL;DR: A spatial model with prey taxis for planktonic systems is proposed, in which the herb behaviour in prey and effect of the hyperbolic mortality rate are considered, and it is shown that prey-taxis can yield the occurrence of spatio-temporal patterns.
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Stability analysis of a chemostat model with maintenance energy
TL;DR: It is shown that the unique constant steady state is globally asymptotically stable when it exists and implies the non-existence of any spatial patterns.
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A Stage-Structured Predator-Prey SI Model with Disease in the Prey and Impulsive Effects
TL;DR: In this article, the authors developed a high-dimensional SI model with stage structure for both the prey (pest) and the predator, and then investigated the dynamics of the model.